Developments in AI and Machine Learning for Neuroimaging

Shane O’Sullivan; Fleur Jeanquartier; Claire Jean-Quartier; Andreas Holzinger; Dan Shiebler; Pradip Moon; Claudio Angione

doi:10.1007/978-3-030-50402-1_18

Developments in AI and Machine Learning for Neuroimaging

Shane O’Sullivan, Fleur Jeanquartier, Claire Jean-Quartier, Andreas Holzinger, Dan Shiebler, Pradip Moon, Claudio Angione

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Abstract

This paper reviews guidelines on how medical imaging analysis can be enhanced by Artificial Intelligence (AI) and Machine Learning (ML). In addition to outlining current and potential future developments, we also provide background information on chemical imaging and discuss the advantages of Explainable AI. We hypothesize that it is a matter of AI to find an invariably recurring parameter that has escaped human attention (e.g. due to noisy data). There is great potential in AI to illuminate the feature space of successful models.

Original language	English
Title of host publication	Developments in AI and Machine Learning for Neuroimaging
Editors	A Holzinger , R Goebel, M Mengel, H Müller
Publisher	Springer
Pages	307-320
Number of pages	14
Volume	12090
ISBN (Print)	9783030504014
DOIs	https://doi.org/10.1007/978-3-030-50402-1_18
Publication status	Published - 24 Jun 2020

Publication series

Name	Lecture Notes in Computer Science
ISSN (Print)	0302-9743

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10.1007/978-3-030-50402-1_18

xai-brainimaging-bookchapterAccepted author manuscript, 695 KB

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O’Sullivan, S., Jeanquartier, F., Jean-Quartier, C., Holzinger, A., Shiebler, D., Moon, P., & Angione, C. (2020). Developments in AI and Machine Learning for Neuroimaging. In A. Holzinger , R. Goebel, M. Mengel, & H. Müller (Eds.), Developments in AI and Machine Learning for Neuroimaging (Vol. 12090, pp. 307-320). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-030-50402-1_18

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O’Sullivan, S, Jeanquartier, F, Jean-Quartier, C, Holzinger, A, Shiebler, D, Moon, P & Angione, C 2020, Developments in AI and Machine Learning for Neuroimaging. in A Holzinger , R Goebel, M Mengel & H Müller (eds), Developments in AI and Machine Learning for Neuroimaging. vol. 12090, Lecture Notes in Computer Science, Springer, pp. 307-320. https://doi.org/10.1007/978-3-030-50402-1_18

Developments in AI and Machine Learning for Neuroimaging. / O’Sullivan, Shane; Jeanquartier, Fleur; Jean-Quartier, Claire et al.
Developments in AI and Machine Learning for Neuroimaging. ed. / A Holzinger ; R Goebel; M Mengel; H Müller . Vol. 12090 Springer, 2020. p. 307-320 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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AU - O’Sullivan, Shane

AU - Jeanquartier, Fleur

AU - Jean-Quartier, Claire

AU - Holzinger, Andreas

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AU - Moon, Pradip

AU - Angione, Claudio

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AB - This paper reviews guidelines on how medical imaging analysis can be enhanced by Artificial Intelligence (AI) and Machine Learning (ML). In addition to outlining current and potential future developments, we also provide background information on chemical imaging and discuss the advantages of Explainable AI. We hypothesize that it is a matter of AI to find an invariably recurring parameter that has escaped human attention (e.g. due to noisy data). There is great potential in AI to illuminate the feature space of successful models.

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BT - Developments in AI and Machine Learning for Neuroimaging

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PB - Springer

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O’Sullivan S, Jeanquartier F, Jean-Quartier C, Holzinger A, Shiebler D, Moon P et al. Developments in AI and Machine Learning for Neuroimaging. In Holzinger A, Goebel R, Mengel M, Müller H, editors, Developments in AI and Machine Learning for Neuroimaging. Vol. 12090. Springer. 2020. p. 307-320. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-50402-1_18

Developments in AI and Machine Learning for Neuroimaging

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